<title>Window-based development and evaluation platform for star identification algorithms</title>

Abstract

Star identification algorithms are difficult to develop, require much parameter adjustment, and are hard to evaluate for different sensor configurations or noise environments. We describe a software platform, star_X that was developed for the design and testing of star identification algorithms. It provides a user-friendly window environment, standardized evaluation routines, and a flexible sensor specification format to assist researchers in developing and evaluating star identification algorithms. We describe the software package and compare some existing star identification algorithms that are currently supported.